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Monitoring the gender gap with Wikidata human gender indicators

Authors
Klein, M.Gupta, H.Rai, V.Konieczny, P.Zhu, H.
Issue Date
Aug-2016
Publisher
Association for Computing Machinery, Inc
Keywords
Biographical Database; Gender Disparities; Wikidata; Wikipedia
Citation
Proceedings of the 12th International Symposium on Open Collaboration, OpenSym 2016, pp.1 - 9
Indexed
OTHER
Journal Title
Proceedings of the 12th International Symposium on Open Collaboration, OpenSym 2016
Start Page
1
End Page
9
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/14680
DOI
10.1145/2957792.2957798
ISSN
0000-0000
Abstract
The gender gap in Wikipedia's content, specifically in the representation of women in biographies, is well-known but has been difficult to measure. Furthermore the impacts of efforts to address this gender gap have received little attention. To investigate we utilise Wikidata, the database that feeds Wikipedia, and introduce the Wikidata Human Gender Indicators (WHGI), a free and open source, longitudinal, biographical dataset monitoring gender disparities across time, space, culture, occupation and language. Through these lenses we show how the representation of women is changing along 11 dimensions. Validations of WHGI are presented against three exogenous datasets: the world's historical population, traditional gender-disparity indices (GDI, GEI, GGGI and SIGI), and occupational gender according to the US Bureau of Labor Statistics. Furthermore, to demonstrate its general use in research, we revisit previously published findings on Wikipedia's gender bias that can be strengthened by WHGI.
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